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- Tasks: Collaborate with a dynamic team to solve complex business problems using generative AI and advanced analytics.
- Company: Join Vertex, a leading global biotechnology company focused on scientific innovation.
- Benefits: Enjoy competitive salary, hybrid work options, generous paid time off, and educational assistance.
- Other info: Be part of a collaborative culture that values transparency, ethics, and career growth.
- Why this job: Make a real impact in healthcare by applying your data science skills to meaningful projects.
- Qualifications: 5+ years of data science experience, expertise in generative AI, and strong programming skills.
The predicted salary is between 152000 - 228000 £ per year.
Are you a data scientist with experience in natural language processing, generative AI, machine learning, and advanced analytics, and looking to apply your expertise in a collaborative and intellectually stimulating environment? Are you passionate about the future of healthcare? Our enterprise data science team is looking for a Boston- or London-based data scientist with experience in using generative AI methods to solve complex business problems and a passion for addressing business needs through data analysis and solutions.
You will work on a highly collaborative team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs. You’ll work side-by-side with internal partners to apply advanced analytics and generative AI to complex, high-value business problems and digital solutions to deliver measurable decisions and outcomes that contribute meaningfully to our business and patients.
Key Duties And Responsibilities- Collaborate with a team of data scientists, engineers, and strategists and our cross-functional partners to conceptualize, deploy, and evaluate custom data science solutions for business problems using generative AI, NLP, machine learning, and other advanced analytical methods.
- Design and execute impact measurement plans (e.g. A/B tests) to quantify the value of these solutions.
- Lead quantitative assessment and insight generation for enterprise document ecosystem.
- Develop advanced insights related to enterprise adoption of generative AI tools such as custom agents.
- Build and deliver compelling data visualizations and outputs to communicate findings to technical collaborators, non-technical audiences, and business leaders.
- Participate in the broader data science community to stay current with methodology, software, and data development and availability.
- Bring an entrepreneurial and ethical mindset, openness, transparency, and collegiality to your work.
- Bachelor’s, Master’s, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics.
- 5+ years of experience developing data science solutions in an industry or academic context, with 2+ years of experience integrating generative AI methods into document solutions (e.g. custom document generation, summarization, QC).
- Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. Snowflake, Databricks, Azure/Foundry, dbt).
- Expertise in working with natural language data and building text-based products, using both classic and state of the art NLP techniques (e.g. text mining, word embeddings, transformer-based models).
- Experience with LLM prompt engineering and familiarity with LLM-based workflows/architectures such as retrieval-augmented generation, multi-agent architectures.
- Experience with statistical/analytical methodologies and machine learning algorithms (e.g. classification, regression, clustering, feature selection/engineering, deep learning, time-series analysis, network analysis, hypothesis testing).
- Exceptional communication skills and ability to present findings to non-technical audiences.
- Experience in effective data visualization approaches and a keen eye for detail in the visual communication of findings.
- Demonstrated history of adherence to highest standards of data ethics.
- 4+ years of industry GenAI data science experience.
- Familiarity with LLMOps, including deployment, monitoring, and maintenance of GenAI data solutions.
- Prior experience with using advanced analytics and/or developing advanced data visualizations in business settings.
- Familiarity with data product UX/UI design and testing.
- Prior exposure to clinical data, real-world data (EMR, claims), manufacturing or supply chain data, or life sciences-related research data.
- Knowledge of the biopharma or healthcare industry.
Principal Data Scientist, Digital & AI employer: Vertex Pharmaceuticals
Contact Detail:
Vertex Pharmaceuticals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist, Digital & AI
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science and AI. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving generative AI and NLP. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in machine learning and data science. Practice explaining your thought process clearly; communication is key!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Principal Data Scientist, Digital & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in generative AI, NLP, and machine learning, as these are key areas for us at StudySmarter.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about healthcare and how your background aligns with our mission. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on relevant projects, especially those involving advanced analytics or generative AI, make sure to include them. We love seeing real-world applications of your skills!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people in our team.
How to prepare for a job interview at Vertex Pharmaceuticals
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of generative AI methods and how they apply to real-world business problems. Be ready to discuss specific projects where you've successfully integrated these techniques, as well as the impact they had.
✨Showcase Your Collaboration Skills
Since this role involves working closely with a team of data scientists, engineers, and strategists, be prepared to share examples of how you've collaborated in the past. Highlight your ability to communicate complex ideas to both technical and non-technical audiences.
✨Prepare for Technical Questions
Expect to face technical questions related to NLP, machine learning algorithms, and programming languages like Python or R. Brush up on your coding skills and be ready to solve problems on the spot, as this will demonstrate your expertise.
✨Bring Your Data Visualisation A-Game
Data visualisation is key in this role, so come prepared with examples of your work. Be ready to discuss how you've used visualisation tools to communicate findings effectively and how you ensure clarity for diverse audiences.